Mathematical modeling and topological graph description of dominating David derived networks based on edge partitions
Abstract Chemical graph theory is a well-established discipline within chemistry that employs discrete mathematics to represent the physical and biological characteristics of chemical substances. In the realm of chemical compounds, graph theory-based topological indices are commonly employed to depi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-09-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-42340-6 |
| _version_ | 1797576676968759296 |
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| author | Shahid Zaman Wakeel Ahmed Atash Sakeena Kavi Bahri Rasool Mamo Abebe Ashebo |
| author_facet | Shahid Zaman Wakeel Ahmed Atash Sakeena Kavi Bahri Rasool Mamo Abebe Ashebo |
| author_sort | Shahid Zaman |
| collection | DOAJ |
| description | Abstract Chemical graph theory is a well-established discipline within chemistry that employs discrete mathematics to represent the physical and biological characteristics of chemical substances. In the realm of chemical compounds, graph theory-based topological indices are commonly employed to depict their geometric structure. The main aim of this paper is to investigate the degree-based topological indices of dominating David derived networks (DDDN) and assess their effectiveness. DDDNs are widely used in analyzing the structural and functional characteristics of complex networks in various fields such as biology, social sciences, and computer science. We considered the FN *, $${M}_{2}^{*}$$ M 2 ∗ , and $${HM}_{N}$$ HM N topological indices for DDDNs. Our computations' findings provide a clear understanding of the topology of networks that have received limited study. These computed indices exhibit a high level of accuracy when applied to the investigation of QSPRs and QSARs, as they demonstrate the strongest correlation with the acentric factor and entropy. |
| first_indexed | 2024-03-10T21:57:11Z |
| format | Article |
| id | doaj.art-20fccf0c8c7f4fa6bab733fbe9f22534 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-10T21:57:11Z |
| publishDate | 2023-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-20fccf0c8c7f4fa6bab733fbe9f225342023-11-19T13:05:15ZengNature PortfolioScientific Reports2045-23222023-09-011311710.1038/s41598-023-42340-6Mathematical modeling and topological graph description of dominating David derived networks based on edge partitionsShahid Zaman0Wakeel Ahmed1Atash Sakeena2Kavi Bahri Rasool3Mamo Abebe Ashebo4Department of Mathematics, University of SialkotDepartment of Mathematics, University of SialkotDepartment of Mathematics, University of SialkotFaculity of Science, University of ZakhoDepartment of Mathematics, Wollega UniversityAbstract Chemical graph theory is a well-established discipline within chemistry that employs discrete mathematics to represent the physical and biological characteristics of chemical substances. In the realm of chemical compounds, graph theory-based topological indices are commonly employed to depict their geometric structure. The main aim of this paper is to investigate the degree-based topological indices of dominating David derived networks (DDDN) and assess their effectiveness. DDDNs are widely used in analyzing the structural and functional characteristics of complex networks in various fields such as biology, social sciences, and computer science. We considered the FN *, $${M}_{2}^{*}$$ M 2 ∗ , and $${HM}_{N}$$ HM N topological indices for DDDNs. Our computations' findings provide a clear understanding of the topology of networks that have received limited study. These computed indices exhibit a high level of accuracy when applied to the investigation of QSPRs and QSARs, as they demonstrate the strongest correlation with the acentric factor and entropy.https://doi.org/10.1038/s41598-023-42340-6 |
| spellingShingle | Shahid Zaman Wakeel Ahmed Atash Sakeena Kavi Bahri Rasool Mamo Abebe Ashebo Mathematical modeling and topological graph description of dominating David derived networks based on edge partitions Scientific Reports |
| title | Mathematical modeling and topological graph description of dominating David derived networks based on edge partitions |
| title_full | Mathematical modeling and topological graph description of dominating David derived networks based on edge partitions |
| title_fullStr | Mathematical modeling and topological graph description of dominating David derived networks based on edge partitions |
| title_full_unstemmed | Mathematical modeling and topological graph description of dominating David derived networks based on edge partitions |
| title_short | Mathematical modeling and topological graph description of dominating David derived networks based on edge partitions |
| title_sort | mathematical modeling and topological graph description of dominating david derived networks based on edge partitions |
| url | https://doi.org/10.1038/s41598-023-42340-6 |
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